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Joint transcriptional disruption of Ret and Ednrb drives cell fate reversal in the Enteric Nervous System in Hirschsprung disease [bulkRNA-seq]

GSE227574 Mus musculus (mouse) Single-cell RNA-seq 54 samples Submitted 2025/04/01 Platform GPL30172Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 54 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
54 samples: 24 × E145 vs 24 × P0 vs 6 × WTP0Groups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Joint disruption of Ret and Ednrb transcription shifts cell fate trajectories in the enteric nervous system in Hirschsprung diseaseProceedings of the National Academy of Sciences of the United States of America · 2025
Summary (written by the submitters)
Despite extensive genetic heterogeneity, 72% of pathogenic alleles for Hirschsprung disease (HSCR) arise from coding and regulatory variants in genes of the RET and EDNRB gene regulatory network (GRN) in the enteric nervous system (ENS). Reduced signaling of these two receptors below a threshold in enteric neural crest-derived cells (ENCDCs) leads to a molecular tipping point at which otherwise lesser cellular defects result in aganglionosis.
Read the full summary ↓
To elucidate the mechanisms leading to enteric neuronal loss from these genetic defects, we generated four strains of mice carrying reduced function alleles at Ret or Ednrb or both, along with their wildtype alleles. ENS tissue- and single-cell gene expression profiling of the developing and postnatal gastrointestinal tract in five mouse models, with various combinations of mutant alleles, revealed 3 major insights: (i) Ret and Ednrb deficiency, rather than complete loss, is sufficient to induce HSCR, (ii) Ret and Ednrb demonstrate strong trans interactions, and (iii) disruption of this interaction leads to cellular fate changes to compensate for neuronal loss. This study of targeted mouse models of a multifactorial disorder reveals how increasing dosage of genetic defects within a GRN leads to quantifiably increasing dysregulation from genotype to gene expression to cellular identity to function. Importantly, our studies establish that aganglionosis results only with severely reduced gene expression at both receptor genes and their consequent disruption of normal and compensatory cell fate trajectories.
Published in
Joint disruption of Ret and Ednrb transcription shifts cell fate trajectories in the enteric nervous system in Hirschsprung disease
Fine RD, Chubaryov R, Fu M et al. · Proceedings of the National Academy of Sciences of the United States of America 2025 · PMID 41118220 · doi:10.1073/pnas.2507062122
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE227574_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA945846 and SRA study SRP427852. Searching any of these in the dataset finder brings you back here.

Study design
24 × E145 vs 24 × P0 vs 6 × WTP0

Supports a between-group comparison across 54 samples.

How we read this: 3 replicated groups read from 54 sample titles; they account for 54 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study

+ 14 more — browse all 54 samples with per-sample file links →

Datasets on a similar topic

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